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- Westpark towers 8th floor mpesi lane-off muthithi road,Westlands
The Predictive Analytics in Results Monitoring Training Course is specifically designed for M&E professionals, data analysts, program managers, and strategic planners who seek to move beyond historical data analysis and leverage future-oriented insights.
The Evaluation of Innovation and Technology in Development Projects Training Course is specifically designed for M&E professionals, innovation managers, technology-for-development (ICT4D) practitioners, and program managers who are committed to assessing the effectiveness and impact of tech-driven interventions.
The Experimental and Quasi-Experimental Evaluation Designs Training Course is meticulously crafted for M&E professionals, evaluators, researchers, and program managers who are dedicated to generating robust evidence of impact
The Cost-Effectiveness and Value-for-Money Assessments Training Course is specifically designed for M&E professionals, program managers, financial analysts, and policymakers who are responsible for ensuring that investments yield the greatest possible impact.
The Causal Inference in Program and Policy Evaluation Training Course is specifically designed for M&E professionals, policy analysts, researchers, and data scientists who are committed to rigorously determining whether an intervention caused an observed outcome, rather than simply being correlated with it.
The Integrating Gender Equality and Social Inclusion (GESI) into M&E Training Course is specifically designed for M&E professionals, gender advisors, social inclusion officers, and program managers committed to building equitable and inclusive programs.
The Mixed-Methods Evaluation for Complex Programs Training Course is specifically designed for M&E professionals, evaluators, and program managers who seek to move beyond siloed quantitative or qualitative approaches and harness the synergistic power of integrating both.
The Advanced Quantitative Methods for Robust Monitoring & Evaluation Training Course is specifically designed for M&E professionals, researchers, and data scientists who aim to move beyond basic descriptive statistics and master the sophisticated analytical techniques required for credible impact evaluation and attribution